Training Program
Quantitative Techniques for Debt Management (QDM)
Deadline passed
Session No.: ST 24.18
Location: Singapore, Singapore
Date: May 20-24, 2024 (1 week)
Delivery Method: In-person Training
Primary Language: English
Target Audience
Officials from finance ministries, treasury departments, debt management offices, and central banks.
Qualifications
Participants are expected to have a degree in economics or finance, or equivalent experience, as well as at least two years of working experience in debt management.
Course Description
This course, presented by the Monetary and Capital Markets Department, aims to build capacity on key quantitative concepts in fixed income for debt managers, and for undertaking debt management operations. It is designed to enable participants to improve their analysis of potential financing options and be able to evaluate the pricing of loans and securities. In addition, the course will help debt managers to understand relevant quantitative techniques in liability management operations, and options for developing and publishing yield curves when pursuing a benchmark issuance strategy.
Course Objectives
Upon completion of this course, participants should be able to:
- Understand the characteristics of different debt management instruments in terms of their cashflows and be able to calculate price, yield, modified duration and other metrics.
- Understand the difference between forward, spot and par yields and be able to build basic yield curves using fitting techniques in Excel.
- Understand how to actively manage the redemption profile with debt buybacks, reverse and switch auctions, including the pricing mechanics of such operations.
- Demonstrate a knowledge of other relevant financial instruments for a debt manager, including repo, interest rate and exchange rate swaps.
Fiscal Policy Analysis (FPA)
English | March 30, 2026 - April 10, 2026 | In-person Training | Abu Dhabi, United Arab Emirates
Apply online by December 18, 2025
Monetary Policy (MP)
English | April 13-24, 2026 | In-person Training | Singapore, Singapore
Apply online by December 19, 2025
Reflecting Digitalization in Financial Sector Statistics
English (Arabic) | January 26-30, 2026 | In-person Training | Abu Dhabi, United Arab Emirates
Apply online by December 19, 2025